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HTRFLOW – Contributions
The AI models used in HTRFLOW is the result of a collaborative effort, involving the National Archives in both Sweden and Finland, in partnership with the Stockholm City Archives, Jämtlands läns fornskriftsällskap, citizen science volunteers and researchers from Stockholm and Uppsala Universities.
Several datasets have been created by participants through Citizen Science using the Handwritten Text Recognition (HTR) software, Transkribus, provided by READ-COOP SCE .
Archives used to train models for HTRFLOW
Svea hovrätt (Renskrivna protokoll), 1713–1735
Bergmästaren i Nora m fl bergslag (Hammartingsprotokoll), 1698–1765
Trolldomskommissionen, mainly 1670s
Stockholms domkapitel, 1728–1759
Göteborgs poliskammare före 1900 (Detektiva polisens rapportböcker), 1868–1901
Renovated Court Records, the National Archives of Finland, 1800s
Ongoing research collaborations
Transcription node Sweden – machine interpretation and citizen research combined, Swedish National Archives and University of Gothenburg, funded by the Swedish National Heritage Board.
Mapping the geographies of early modern mining knowledge. A digital history of the study tours of the Swedish Bureau of Mines, 1691–1826, Uppsala University and Stockholm University, funded by the Swedish Research Council.
The Swedish National Archives' research and development on HTR is part of the Swedish national infrastructure Huminfra. Click here for more information.